What is … sparse and redundant representation modeling for image processing?

This page hosts information on Wang-Q Lim's talk "What is … sparse and redundant representation modeling for image processing?" at the "What is …?" seminar. The talk will take place on Friday, January 9, 1:00pm at the BMS Loft at Urania. This talk will help you better understand the talk by Joachim Weickert, which will start at 2pm.

Abstract

Recently, sparse and redundant representation modeling has received extensive attention and shown to be quite effective in signal and image processing. This framework allows for the successful reconstruction of the true image from severely corrupted or undersampled data.

In this talk, we will introduce an image reconstruction scheme based on this framework and show the effectiveness of such a scheme in various applications.

Comments